Seismic Damage Prediction of Multistory Brick Buildings Based on RBF Neural Network Model

Abstract:

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Seismic damage prediction of multistory brick buildings is a multi-factor nonlinear complex problems, this paper analyzed the deficiencies of the traditional methods for predicting the seismic damage, so a prediction model of multistory brick buildings based on RBF Neural Network model is established, RBF network structure elements and parameters are studied and obtained. With examples the research proved that the prediction results are similar to the actual seismic damage to multistory brick buildings by the RBP neural network model, the analytic method and process discussed in this paper can also be applied to seismic damage prediction of brick buildings of urban earthquake disaster prevention planning.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

4213-4217

DOI:

10.4028/www.scientific.net/AMR.163-167.4213

Citation:

L. Wang et al., "Seismic Damage Prediction of Multistory Brick Buildings Based on RBF Neural Network Model", Advanced Materials Research, Vols. 163-167, pp. 4213-4217, 2011

Online since:

December 2010

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Price:

$35.00

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